Case Study: University of Texas at Austin achieves deeper drought-stress research insights with JMP Genomics

A University of Texas researcher’s recommendations are put into practice in his statistical discovery tool of choice

The University of Texas at Austin researcher Tom Juenger needed a better way to identify and characterize genes tied to drought stress tolerance in Arabidopsis thaliana, with the broader goal of understanding plant adaptation and improving crops under harsh conditions. He used JMP Genomics from JMP as his statistical discovery tool to handle large, complex genomics datasets and experimental designs.

JMP implemented a flexible, menu-driven platform that combined SAS-powered statistical analysis with strong graphics and data visualization. The solution helped Juenger import and analyze microarray data, perform genetic mapping and association studies, and explore results more easily; it also led to two user-requested features being added to a newer release. The impact was significant: Juenger said the tool saved his lab from analytical headaches, enabled analyses they otherwise could not easily do, and improved how he presented and understood thousands of gene results.

University of Texas at Austin

Tom Juenger

Associate Professor